AI voice agents for business phone lines that answer, call back, and transfer to your team
AI agents for customer service that feel human
Stage
Startup
Not given
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Paid
Freemium
Pricing
Pay-as-you-go with no subscriptions or minimums. Starting credit of $5 USD. Calls billed per minute: $0.0673 per minute on the lowest-cost stack (all-in). Platform infrastructure fee is $0.0500 per minute. Speech-to-text from $0.0020 to $0.0100 per minute. Language models from $0.0008 to $0.0264 per
Free plan with 35 credits/month. Lite: $35/month or $350/year. Standard: $89/month or $890/year. Scale: $377/month or $3770/year. Enterprise: contact sales. Auto-recharge available at $9 per 1,000 message credits.
Key features
Visual flow builder for designing call flows
Inbound and outbound calling
380ms median response time on production calls
Integration with Meta leads
Mid-call API integration and data lookup
Do-not-call list enforcement
Choice of language models, speech-to-text, and voice providers
Call recording with GDPR compliance and opt-out
Transparent per-minute cost breakdown
Train agents on website and documents with auto-retrain
Complete real tasks through AI Actions
Seamless handoff to human agents with context
Multi-channel deployment
Analytics dashboard with satisfaction metrics
White-labeling with custom domain
Team collaboration features
Multilingual support
No-code visual agent designer
What makes it different
Fastest response time: 380ms median to first word on production calls
Switchable AI models per flow for cost optimization
Transparent usage-based pricing with no subscriptions or minimums
Built-in intelligent call routing to the right team
Defaults that respect privacy with recording off by default
Human-like conversational responses with brand voice customization
Agents that take real actions not just answer questions
Continuous learning with automatic knowledge updates
Fast setup with no coding required
Seamless handoff to human agents with full context preservation